Methods to determine, smooth and plot quantile periodograms for
univariate and multivariate time series. See Kley (2016)
o Updated CITATION file as required by the JSS editor. o Updated vignette with editorial changes from JSS. o Updated references throughout documentation.
o Added functionality for the analysis of multiple time series.
o Added plot function for LagOperator. o Fixed two typos in the computation of estimates for standard errors.
o Added functionality to do lag window estimation.
o Fixed a wrong constant in the definition of the W1 kernel. o Fixed a tiny mistake in getLevels-QSpecQuantity.
o Added spaces around = in some show commands. o Updated vignette to version that was accepted by the JSS. o Updated references in the technical documentation.
o Reimplemented getSdNaive using Rcpp. o Moved the unit tests to tests/testthat, which is now recommended practice (cf. https://github.com/hadley/testthat). o Stylistically revised the vignette.
o Fixed a mistake in QRegEstimator (in v1.0-0, the complex conjugate of the estimator was returned). o Fixed a mistake where 1 x 1 QuantileSD plots failed to be created. o Improved the vignette.
o The quantspec package was conceptually remodeled. It is now based on an object-oriented design. The implementation uses the S4 system.
FUNCTIONALITY LARGELY EXTENDED; NOW INCLUDES
o efficient computation of frequency representations based on (1) the clipped time series, (2) the quantile regression estimator in the harmonic linear model.
o computation of the periodograms based on (1) and (2)
o computation of smoothed periodograms; using different types of weights will yield estimatiors for (1) the Laplace or copula spectral density (2) the integrated Laplace or copula spectral density
o simulation of (1) Laplace and copula spectral densities, (2) integrated Laplace and copula spectral densities,
o a mechanism to generate block bootstrap replicates in the time domain and compute all the estimators from them.
o A vignette was added to the package. It contains a brief introduction to quantile-based spectral analysis, a description of the framework, a tutorial and two worked examples.
o Three functions to compute, smooth and plot the (quantile regression-based) Laplace periodograms and rank-based Laplace periodograms.